List of English Publication

@inproceedings{nokey,

title = {Fully Distributed EV Charging Scheduling for Load Flattening in V2G Systems},

author = {Jinwook Heo and Soojeong Hyeon and Hyungbo Shim and Jinsung Kim

},

doi = {10.1109/CDC56724.2024.10886202},

year  = {2024},

date = {2024-12-16},

urldate = {2025-02-26},

booktitle = {2024 IEEE 63rd Conference on Decision and Control (CDC)},

publisher = {IEEE},

address = {Milan, Italy},

abstract = {This paper presents a fully distributed algorithm for scheduling electric vehicle (EV) charging and discharging to flatten the total load of the grid, while considering constraints on grid transmission capacity. As a fully distributed solution, the proposed algorithm operates without the need for a central unit. Instead, each agent only communicates a single dual variable with its neighboring agents based on a communication graph, and thus no private information is shared. In particular, the algorithm does not rely on initial conditions, ensuring robustness in online changes of operational conditions. Simulation results verify the effectiveness of the proposed algorithm.

},

keywords = {Blended dynamics, Distributed optimization, Power grids},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{YunLeeShim17,

title = {Consensus-based Distributed Coordination for Optimal Energy Generation of Hierarchical Systems},

author = {Hyeonjun Yun and Seungjoon Lee and Hyungbo Shim},

doi = {10.23919/SICE.2017.8105477},

year  = {2017},

date = {2017-09-20},

booktitle = {Proc. of 56th Annual Conference of the Society of Instrument and Control Engineers (SICE)},

pages = {871-876},

address = {Kanazawa, Japan},

abstract = {This paper considers the optimal energy generation problem for hierarchical system, which consists of multi-cluster power system. In particular, consensus-based distributed hierarchical coordination algorithm is proposed to meet the power generation/demand balance. By using Lagrangian-based approach, we show that the optimization problem for the hierarchical system can be separated into each layer's consensus problem with communication between each layer's leader agent. The convergence is proved in the sense of global practical stability by the singular perturbation theory. Simulation result shows that the solution obtained by the proposed algorithm converges to the optimal solution.},

keywords = {Distributed optimization, Multi-agent system, Power grids, Synchronization},

pubstate = {published},

tppubtype = {inproceedings}

}